Search Results for "raspberry-gpio-python"
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Showing 4 open source projects for "raspberry-gpio-python"
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Gen AI apps are built with MongoDB AtlasMongoDB Atlas provides built-in vector search and a flexible document model so developers can build, scale, and run gen AI apps without stitching together multiple databases. From LLM integration to semantic search, Atlas simplifies your AI architecture—and it’s free to get started.
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Our Free Plans just got better! | Auth0You asked, we delivered! Auth0 is excited to expand our Free and Paid plans to include more options so you can focus on building, deploying, and scaling applications without having to worry about your security. Auth0 now, thank yourself later.
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LAIR! the game
LAIR is a Sandbox Dungeon Crawling Game
LAIR! is a game designed to provide virtually limitless versatility in the environment that it provides. While you create a new character, it generates a dungeon for you to explore with thousands of creatures, treasures, and secrets. Every piece of content can be generated procedurally by the game engine, so new dungeons and treasures can appear at any time. -
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A MUD-Client for Windows (Win32) and KDE, featuring perl, python and ruby scripting, as well as multi-window output. The main focus is a very strong scripting engine (nearly everything is accessible from a script) while trying to stay user friendly.
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The time of Archmages will be an open-source MUD game. Players can be connected to the game server using either a special client or through IRC or they can use a Web-interface. This means that a player can reach the server from virtually any platform.
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The Fury² Game Creation System is a game development toolkit for the 32-bit Windows platform, designed to allow the creation of complex multimedia software and games with minimal unnecessary effort (i.e. reinventing the wheel.)
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Skillfully - The future of skills based hiringSkillfully transforms hiring through AI-powered skill simulations that show you how candidates actually perform before you hire them. Our platform helps companies cut through AI-generated resumes and rehearsed interviews by validating real capabilities in action. Through dynamic job specific simulations and skill-based assessments, companies like Bloomberg and McKinsey have cut screening time by 50% while dramatically improving hire quality.
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